Case Studies

Document Retrieval Using Deep Neural Networks

Industry: BFSI

Introduction

Our client, one of the world’s largest investment management organizations, wanted a document retrieval system that would enable them to execute contextual search to increase the precision of finding the right document.

The business objective was to quickly create articles and blogs from millions of internal as well as external documents (pdfs, business & financial news, reports, etc.) by querying the corpus and retrieving relevant paragraphs and sections from reference materials.

The client also wanted a mechanism for summarizing large documents and html pages found from the above search.

Project Journey

Approach

Data Crawlers were used to extract data from internal and external websites (e.g. Bloomsberg, BlackRock, etc.)